Article
Remote Sensing
Yanan Du, Haiqiang Fu, Lin Liu, Guangcai Feng, Xing Peng, Debao Wen
Summary: A patch-based polynomial method is proposed to fit the orbit error plane in SAR images, which has been tested on simulated datasets and then applied to ALOS1/2 PALSAR and Sentinel-1A datasets. The method can more accurately fit the orbit phase plane, especially in the margin areas of ALOS1/2 and for the wide-coverage Sentinel-1A datasets.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Geosciences, Multidisciplinary
Jiuyuan Yang, Caijun Xu, Yangmao Wen, Guangyu Xu
Summary: This study investigates the coseismic and postseismic deformation of three earthquakes that occurred in Thessaly, Greece, from March 3 to March 12, 2021. It reveals the activation of at least four unmapped low-angle normal faults and a ramp-flat structure by the seismic sequence. The analysis also highlights the control of slip extent and rupture termination by intersections between main and secondary faults, as well as the encouragement of rupture reinitiation of later events by static stress transfers induced by earlier events.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
F. Liu, J. R. Elliott, T. J. Craig, A. Hooper, T. J. Wright
Summary: InSAR time series analysis can better resolve coseismic displacement signals of earthquakes, improve the resolving power of InSAR for earthquake studies, and yield more robust earthquake modeling results.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Hua Gao, Mingsheng Liao, Xiaoge Liu, Wenbin Xu, Nan Fang
Summary: The Ms6.0 earthquake in Changning, Sichuan, China attracted attention due to the area’s significant shale gas and mineral salt production. Using InSAR, researchers studied the coseismic deformation of the Changning event and two earlier earthquakes, suggesting a possible link between the Changning earthquake and salt mining activities.
Article
Environmental Sciences
Liang Zhao, Rubing Liang, Xianlin Shi, Keren Dai, Jianhua Cheng, Junxing Cao
Summary: This study integrated GACOS and InSAR technology to accurately detect the surface displacement of a series of small-magnitude earthquakes in Rong County, China. The analysis of factors influencing displacement and the statistical analysis of displacement provide important insights for post-earthquake hazard assessment and disaster prevention.
Article
Environmental Sciences
Hao Lu, Guangcai Feng, Lijia He, Jihong Liu, Hua Gao, Yuedong Wang, Xiongxiao Wu, Yuexin Wang, Qi An, Yingang Zhao
Summary: This study derived the coseismic displacements of an earthquake in Yangbi County using Sentinel-1 data, and inverted the source model of the event. The results showed that adding the BOI-derived displacements improved the resolution of the slip model and revealed potential seismic risks.
Article
Geosciences, Multidisciplinary
Tayeb Smail, Mohamed Abed, Ahmed Mebarki, Milan Lazecky
Summary: This study utilizes SAR techniques to detect deformations in areas struck by earthquakes, identifying and tracking earthquake-induced landslides and lands prone to landslides. The investigation in the Mila region of Algeria demonstrates the effectiveness of CCD and DInSAR analysis in accurately identifying landslides and ground deformations, confirmed by optical images and field inspection.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Geochemistry & Geophysics
M. Bagagli, I Molinari, T. Diehl, E. Kissling, D. Giardini
Summary: With the use of the AlpArray Seismic Network, a consistent seismicity-catalogue for the greater Alpine region has been established, providing high-precision hypocentre locations and consistent magnitude estimation. These findings serve as a foundation for future seismic hazard studies and improvements in the region.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Environmental Sciences
Ryan Smith
Summary: The San Joaquin Valley in California has experienced significant subsidence over the past century, with the most affected areas shifting from west to south. This study analyzes head records and identifies the stress history and declining groundwater levels as major factors contributing to subsidence. It emphasizes the need for active groundwater management and accurate long-term data for deformation modeling.
WATER RESOURCES RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
S. Kang, R. Knight
Summary: Using 5 years (2015-2019) of high quality interferometric synthetic aperture radar (InSAR) data in the Central Valley of California, a new approach was developed to separate the poroelastic component from the InSAR data by removing the hydrologic loading component. K-means clustering was employed to identify the time series in InSAR deformation dominated by either loading or poroelastic response. The loading component accounted for an average of 56 +/- 12% of the deformation, and without correction, the poroelastic response was underestimated by 50%-60% in the valley areas.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Michele Saroli, Matteo Albano, Simone Atzori, Marco Moro, Cristiano Tolomei, Christian Bignami, Salvatore Stramondo
Summary: The use of satellite monitoring techniques has improved the discovery of non-catastrophic slope movements triggered by earthquakes involving old paleo-landslides. Through multidisciplinary analysis, the study identified a previously unknown paleo-landslide triggered by seismic shaking, confirming the cumulative effect of seismic shaking on landslides.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Zeyu Jin, Yuri Fialko
Summary: The 2021 Maduo earthquake in northeast Tibet ruptured a 150 km-long left-lateral fault. Using Synthetic Aperture Radar data, a finite fault model was derived to investigate slip distribution with depth. Postseismic observations showed surface slip up to 0.1 m, partially eliminating the coseismic slip deficit in the uppermost crust.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geosciences, Multidisciplinary
J. Maurer, R. Dutta, A. Vernon, S. Vajedian
Summary: The 7.2 magnitude earthquake that occurred in Nippes, Haiti on August 14, 2021 ruptured multiple segments of the Enriquillo-Plantain Garden Fault Zone. The fault slip occurred on both sides of a restraining bend, resulting in reverse-slip and left-lateral slip. Afterslip also occurred at shallow depths in the vicinity of the coseismic rupture areas.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geochemistry & Geophysics
Hua Gao, Mingsheng Liao, Xiao Liang, Guangcai Feng, Genhou Wang
Summary: The N-S-trending grabens in the Tibetan plateau play a crucial role in understanding the evolution and deformation mechanisms of the plateau. This study investigates the kinematics of the grabens by analyzing the Nima earthquake that occurred in July 2020. Through field surveys and radar technology, the study examines the structural style, coseismic and postseismic deformation, fault slip, and stress changes associated with the earthquake. The findings suggest that the grabens in Nima have a maximum coseismic deformation of 29.4 cm and a main slip area at a depth of 4-12 km. The formation of the grabens is likely associated with local extension along the left-stepping sinistral fault system.
Article
Chemistry, Multidisciplinary
Jianming Guo
Summary: The 2021 Maduo earthquake resulted in significant surface rupture along pre-existing fault traces. The fault is primarily characterized by left-lateral strike-slip movement, with horizontal offsets generally less than 2 m and vertical offsets less than 1 m. Detailed drone mapping provided insights into the fracture pattern and offset of the fault, with the development of the peaty meadow layer influencing the fractures' combination modes.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Geological
Liye Yang, Zhong Lu, Chaoying Zhao, Jinwoo Kim, Chengsheng Yang, Baohang Wang, Xiaojie Liu, Zhe Wang
Summary: This study systematically analyzed the contributing factors to the glacial lake outburst flooding (GLOF) disaster, including meteorological triggering, glacial activity, lake expansion, landslide, and glacial collapse, using multi-source remote sensing approaches. The research found that heavy rainfall, landslide, and ice collapse within a short period of time likely caused the GLOF event in June 2020.
Article
Environmental Sciences
Yanan Jiang, Huiyuan Luo, Qiang Xu, Zhong Lu, Lu Liao, Huajin Li, Lina Hao
Summary: In this study, a novel GC-GRU-N model is proposed for landslide displacement prediction. The model combines graph convolutional operation with a gated recurrent unit network to capture spatial and temporal dependencies, while considering external influence factors for improved performance.
Article
Geosciences, Multidisciplinary
Yuankun Xu, Zhong Lu, Ben Leshchinsky
Summary: Landslides are a natural hazard that occur frequently in mountainous regions, but can also occur in dry climates due to human activities. This study focused on irrigation-triggered landslides in a desert valley near Hanford, Washington. The researchers used optical images and radar measurements to study the landslides and found that catastrophic landslides typically completed their life cycle within minutes to days, while slow-moving landslides lasted approximately 40 years. Both types of landslides contributed to sediment transport into the Columbia River. The motion dynamics of the landslides were influenced by factors such as seasonal dam water release and infiltrated irrigation water from farmlands.
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
(2022)
Article
Geochemistry & Geophysics
Bingxu Luo, Hejun Zhu, Jidong Yang, Thorne Lay, Lingling Ye, Zhong Lu, David Lumley
Summary: The study established a low completeness aftershock catalog using CNNs for detection and P-wave automatic picking, resulting in the detection of a large number of events and increased resolution of the earthquake rupture zone, providing further support for the seismic rupture trajectory change and sustained seismic activity.
SEISMOLOGICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Feifei Qu, Qin Zhang, Yufen Niu, Zhong Lu, Shuai Wang, Chaoying Zhao, Wu Zhu, Wei Qu, Chengsheng Yang
Summary: This study uses radar imagery to depict the recent ground deformation and identify active faults in the Weihe Basin, China. The vertical movement dominates the deformation of the basin, with subsidence and uplift occurring in different regions, linked to known or unmapped faults.
Editorial Material
Environmental Sciences
Lei Zhang, Zhong Lu
Article
Environmental Sciences
Yuanyuan Liu, Xia Yan, Yuanping Xia, Bo Liu, Zhong Lu, Mei Yu
Summary: This study examines the land subsidence in the eastern Beijing plain using InSAR time series analysis. The results show that the subsidence is influenced by groundwater level changes and has significantly slowed down after the implementation of the South-to-North Water Diversion (SNWD) Project. Additionally, the study identifies the impact of geological faults on the subsidence.
Article
Geosciences, Multidisciplinary
Weiyu Zheng, Zhong Lu, Roger P. Denlinger, Jin-Woo Kim
Summary: Wastewater disposal can cause detectable surface uplift, posing a threat to infrastructure due to potential ground instability. To better understand this geohazard, the study combines Interferometric Synthetic Aperture Radar (InSAR) measurements, injection information, and a poroelastic finite element model with a Bayesian Monte Carlo approach to constrain local hydro-geomechanical parameters. The analysis of Sentinel-1A/B imagery from 2014 to 2020 in Winkler county, West Texas, USA, reveals under-reported volumes in a well near the deformation center. The inversion results provide improved constraints on the parameters compared to using cumulative spatial deformation or temporal development alone.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Eu-Ru Lee, Won-Kyung Baek, Hyung-Sup Jung
Summary: With the increasing importance of forests, monitoring and managing forest ecology information has become essential. Tree species are important indicators of forest ecosystems, and studies have been conducted using remote sensing data and machine learning algorithms for tree species classification. The classification accuracy varies based on the characteristics and quantity of data used, so applying different classification models is necessary. This study analyzed the accuracy of tree classification using convolutional neural networks (CNNs)-based deep learning models and examined the impact of data augmentation methods. The results showed that the CNN-3 model demonstrated the best classification performance.
Article
Environmental Sciences
Jin-Woo Yu, Hyung-Sup Jung
Summary: With the acceleration of global warming, research on forests has become important. In our previous study, we mapped the vertical forest structure using machine learning techniques and multi-seasonal remote sensing data, and improved the classification performance. However, this approach had tree location errors. To overcome this, we used modified U-Net models with multi-seasonal UAV optic and LiDAR data, and achieved better mapping performance.
Article
Geochemistry & Geophysics
Wanji Zheng, Jun Hu, Zhong Lu, Xie Hu, Qian Sun, Jihong Liu, Jianjun Zhu, Zhiwei Li
Summary: Complete and accurate estimation of three-dimensional (3-D) deformations for landslides is challenging, especially for slopes facing north or south. In this study, a topography-constrained strain model is proposed to derive complete 3-D movements by exploiting the spatial relationship of 3-D deformations between neighboring points and assuming surface parallel flow of landslides. The method is tested on both synthetic and real datasets, and the performance of various datasets and the potential of NISAR in deriving time series and 3-D movements are assessed.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Environmental Sciences
Yakun Han, Tao Li, Keren Dai, Zhong Lu, Xinzhe Yuan, Xianlin Shi, Chen Liu, Ningling Wen, Xi Zhang
Summary: Extracting the land subsidence in Beijing from 2020 to 2021 using time-series InSAR analysis with Gaofen-3 SAR images, this study reveals the spatial-temporal evolution and deceleration of Beijing land subsidence compared with the Sentinel-1 results from 2017 to 2020. The interferometric performance of Gaofen-3 satellite SAR imagery is evaluated, and the main factors influencing coherence and quality of interferograms are analyzed. The study demonstrates that refining and removing artifacts can improve the quality of interferograms formed by Gaofen-3 SAR images.
Article
Remote Sensing
Vamshi Karanam, Zhong Lu
Summary: The Permian Basin in the United States has been a significant source of oil and gas for over a century. Recent advancements in extraction methods have led to exponential production growth, causing changes in the subsurface stress regime and resulting in geohazards such as land subsidence.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Geochemistry & Geophysics
Shuai Wang, Zhong Lu, Bin Wang, Yufen Niu, Chuang Song, Xing Li, Zhangfeng Ma, Caijun Xu
Summary: By proposing a new phase-based approach, we can effectively map the small-amplitude crustal deformation caused by fault motion in short-period interferograms, even in the presence of strong tropospheric delays.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Songbo Wu, Xiaoli Ding, Mi Jiang, Bochen Zhang, Zhong Lu
Summary: This paper proposes a new method, called the sparse parameter model (SPM), for InSAR deformation retrieval and uncertainty assessment. The method utilizes redundant SAR observations and sparse deformation time series for assessing deformation uncertainty and suppressing decorrelation noise, and its effectiveness is validated.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
